Shahbaz Shaikh Email & Phone Number

Pune, Mh, In

Hyderabad, Telangana, India

Client : Abbott LaboratoriesWork Location : Hyderabad (Remote)Domain : Health Care ( Abbott Laboratories is an American multinational medical devices and health care company )Working as : Senior Kafka Admin•Designing, deploying, and managing AWS MSK clusters to support data migration from server less to provisioned architecture.•Setting up MSK Replicator for efficient Active-Active replication and ensuring high availability and fault tolerance.•Implementing and configuring Cruise Control for Kafka cluster monitoring, self-balancing, and automated optimization of cluster resources.•Developing Infrastructure-as-Code (IaC) solutions using Terraform to automate the deployment, scaling, and management of MSK clusters and related components.•Collaborating with cross-functional teams to define and implement best practices for Kafka performance tuning, security, and scalability.•Monitoring, troubleshooting, and resolving Kafka-related issues to ensure smooth operations and minimize downtime.

Pune, Maharashtra, India

Client : Foot Locker IncWork Location : Pune (remote )Domain : Foot Locker, Inc. is an American multinational sportswear and footwear retailerWorking as : Senior Kafka AdminResponsibilities : Ensured 99.99% availability, As a Admin my main responsibility were to manage and optimize the performance & to ensure smooth operation of large scale clusters and to performed root cause analysis, and collaborated with Teams to meet their requirements while managing server-side technologies.• Work on large scale multi-nodes Kafka cluster environments residing on Azure platform• Handle all Kafka environment builds, Deployment, including design, capacity planning, cluster setup,performance tuning and ongoing monitoring.• Creating, alerting, and deleting the Kafka topics and Flushing the messages from the Kafka topics• Worked with Postman to test and validate Connector.• Experienced in Topic Management (creating, deleting, enable, disable, monitor).• Experienced in Performance Tuning, broker tuning, consumer tuning, producer tuning• Experienced in Involving Confluent Enterprise Support for troubleshooting purpose.• Coordinate with application dev and Support teams to resolve access issues• Partition's reassignment to even distribute load between all brokers.• High availability cluster setup, maintenance, creating topics, setup redundancy cluster.

Pune, Maharashtra, India

Client : AT&T IncWork Location : Pune (remote )Domain : AT&T Inc is an American multinational telecommunications holding companyWorking as : Senior Kafka AdminAs a system administrator, I was responsible for maintaining availability, managing and optimizing performance, ensuring the smooth running of large-scale clusters, doing root cause analysis, and working with teams to meet their needs while regulating server-side technologies.• Experienced in Creating Mirroring like Connector and Replicator of Kafka cluster.• Perform high-level, day-to-day operational maintenance, support, and upgrades for the Kafka Cluster& Connector management (creating, delete, enable, disable, and monitor).• Creation of key performance metrics, measuring the utilization, performance and overall health of thecluster & Experience in open source or Confluent Kafka, Kafka Control center, Zookeeper.• Conduct knowledge transfer sessions and workshops for other members in the team.• Experience in implementing security & authorization (permission based) on Kafka cluster.• Worked extensively on KAFKA security using KAFKA ACL, KAFKA SSL, Zookeeper ACL, KAFKAauthentication and authorization.• Experienced in Configuration Managing Users Creating Reports, Creating Alerts, adding host,Commissioning and Decommissioning, and Experience in user on boarding

Pune, Maharashtra, India

Client : CZ GroupWork Location : Punedomain : Insurance working as : Kafka Admin• Experienced in Consumer group rebalancing management of Kafka (offset reset, deletion of consumergroup)• Experienced in clearing Root Space log caused Disk memory.• Experienced in Confluent Kafka Deployment and configuration.• Handle all Kafka environment builds, cluster setup, performance tuning & ongoing monitoring.• Creating, alerting, and deleting the Kafka topics and Flushing the messages from the Confluent Kafkatopics.• Reset offset to a date or number or latest or earliest and clear hung transactions.

Pune, Maharashtra, India